Gemma 3 27B vs Kimi K2 Base
Kimi K2 Base leads the LLM Stats Score 13.6 to 8.4.
Google · Moonshot AI · Updated for 2026
Which is better?
Kimi K2 Base leads the overall LLM Stats Score 13.6 to 8.4, ranking #234 overall.
In the 5 individual benchmarks reported for both models, Kimi K2 Base wins 3; this is a narrower head-to-head signal than the composite indexes.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemma 3 27B
- you want predictable pricing at $0.10/M input and $0.20/M output
Choose Kimi K2 Base
- overall performance matters — it scores 13.6 and ranks #234 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 3 of 5 exact shared results
- you want the most recent training data — it shipped Jul 2025
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
27 reported for Gemma 3 27B · 13 for Kimi K2 Base
Gemma 3 27B outperforms in 2 benchmarks (GSM8k, MATH), while Kimi K2 Base is better at 3 benchmarks (GPQA, MMLU-Pro, SimpleQA).
Kimi K2 Base has a slight edge in benchmark performance.
Human preference
Blind head-to-head votes and playground preference scores
Model Size
Parameter count comparison
Kimi K2 Base has 973.0B more parameters than Gemma 3 27B, making it 3603.7% larger.
Context Window
Maximum input and output token capacity
Only Gemma 3 27B specifies input context (131,072 tokens). Only Gemma 3 27B specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Gemma 3 27B supports multimodal inputs, whereas Kimi K2 Base does not.
Gemma 3 27B can handle both text and other forms of data like images, making it suitable for multimodal applications.
Gemma 3 27B
Kimi K2 Base
License
Usage and distribution terms
Gemma 3 27B is licensed under Gemma, while Kimi K2 Base uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Gemma
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Gemma 3 27B was released on 2025-03-12, while Kimi K2 Base was released on 2025-07-11.
Kimi K2 Base is 4 months newer than Gemma 3 27B.
Mar 12, 2025
1.5 years ago
Jul 11, 2025
1.2 years ago
4mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemma 3 27B and Kimi K2 Base side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemma 3 27B vs Kimi K2 Base.